---
title: "Centre National de la Recherche Scientifique — works"
description: "83 works by researchers of Centre National de la Recherche Scientifique in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/works/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/works/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [labs](https://md.research.elamur.ai/free/en/labs/) / [Centre National de la Recherche Scientifique](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) / works

# Works of Centre National de la Recherche Scientifique

83 works · the most cited first · [← Centre National de la Recherche Scientifique](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/)

1. [**SciPy 1.0 — Fundamental Algorithms for Scientific Computing in Python**Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, et al.*2019 · 38,317 citations*](https://md.research.elamur.ai/free/en/papers/virtanen-2019-scipy-1-0-fundamental-algorithms/)
2. [**Emerging Properties in Self-Supervised Vision Transformers**Mathilde Caron, Hugo Touvron, Ishan Misra, et al.*2021 · 5,910 citations*](https://md.research.elamur.ai/free/en/papers/caron-2021-emerging-properties-self-supervised-vision/)
3. [**Twitter as a Corpus for Sentiment Analysis and Opinion Mining**Alexander Pak, Patrick Paroubek*2010 · 2,905 citations*](https://md.research.elamur.ai/free/en/papers/pak-2010-twitter-as-corpus-sentiment-analysis/)
4. [**SemEval-2016 Task 5: Aspect Based Sentiment Analysis**Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, et al.*2016 · 1,656 citations*](https://md.research.elamur.ai/free/en/papers/pontiki-2016-semeval-2016-task-5-aspect/)
5. [**Optuna: A Next-generation Hyperparameter Optimization Framework**Takuya Akiba, Shotaro Sano, Toshihiko Yanase, et al.*2019 · 1,246 citations*](https://md.research.elamur.ai/free/en/papers/akiba-2019-optuna-next-generation-hyperparameter-optimization/)
6. [**Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies**Tal Linzen, Emmanuel Dupoux, Yoav Goldberg*2016 · 1,239 citations*](https://md.research.elamur.ai/free/en/papers/linzen-2016-assessing-ability-lstms-learn-syntax/)
7. [**Findings of the 2016 Conference on Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2016 · 936 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2016-findings-2016-conference-machine-translation/)
8. [**Unsupervised Machine Translation Using Monolingual Corpora Only**Guillaume Lample, Alexis Conneau, Ludovic Denoyer, et al.*2017 · 650 citations*](https://md.research.elamur.ai/free/en/papers/lample-2017-unsupervised-machine-translation-using-monolingual/)
9. [**The WebNLG Challenge: Generating Text from RDF Data**Claire Gardent, Anastasia Shimorina, Shashi Narayan, et al.*2017 · 579 citations*](https://md.research.elamur.ai/free/en/papers/gardent-2017-webnlg-challenge-generating-text-rdf/)
10. [**Creating Training Corpora for NLG Micro-Planners**Claire Gardent, Anastasia Shimorina, Shashi Narayan, et al.*2017 · 526 citations*](https://md.research.elamur.ai/free/en/papers/gardent-2017-creating-training-corpora-nlg-micro/)
11. [**SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking**Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant*2021 · 510 citations*](https://md.research.elamur.ai/free/en/papers/formal-2021-splade-sparse-lexical-expansion/)
12. [**BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains**Yanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.*2024 · 406 citations*](https://md.research.elamur.ai/free/en/papers/labrak-2024-biomistral-collection-open-source-pretrained/)
13. [**QuestEval: Summarization Asks for Fact-based Evaluation**Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.*2021 · 353 citations*](https://md.research.elamur.ai/free/en/papers/scialom-2021-questeval-summarization-asks-fact-based/)
14. [**Survey: Multiword Expression Processing: A Survey**Mathieu Constant, Gülşen Eryiǧit, Johanna Monti, et al.*2017 · 296 citations*](https://md.research.elamur.ai/free/en/papers/constant-2017-survey-multiword-expression-processing-survey/)
15. [**FlauBERT: Unsupervised Language Model Pre-training for French**Hang Le, Loïc Vial, Jibril Frej, et al.*2019 · 293 citations*](https://md.research.elamur.ai/free/en/papers/le-2019-flaubert-unsupervised-language-model-pre/)
16. [**Evaluating Discourse Phenomena in Neural Machine Translation**Rachel Bawden, Rico Sennrich, Alexandra Birch, et al.*2017 · 252 citations*](https://md.research.elamur.ai/free/en/papers/bawden-2017-evaluating-discourse-phenomena-neural-machine/)
17. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
18. [**Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing**Edoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak, et al.*2019 · 217 citations*](https://md.research.elamur.ai/free/en/papers/ponti-2019-modeling-language-variation-universals-survey/)
19. [**Answers Unite! Unsupervised Metrics for Reinforced Summarization Models**Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, et al.*2019 · 210 citations*](https://md.research.elamur.ai/free/en/papers/scialom-2019-answers-unite-unsupervised-metrics-reinforced/)
20. [**Discourse Structure and Dialogue Acts in Multiparty Dialogue: the STAC Corpus**Nicholas Asher, Julie Hunter, Mathieu Morey, et al.*2016 · 202 citations*](https://md.research.elamur.ai/free/en/papers/asher-2016-discourse-structure-dialogue-acts-multiparty/)
21. [**GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer**Urchade Zaratiana, Nadi Tomeh, Pierre Holat, et al.*2024 · 189 citations*](https://md.research.elamur.ai/free/en/papers/zaratiana-2024-gliner-generalist-model-named-entity/)
22. [**The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020)**Thiago Castro Ferreira, Claire Gardent, Nikolai Ilinykh, et al.*2020 · 163 citations*](https://md.research.elamur.ai/free/en/papers/ferreira-2020-2020-bilingual-bi-directional-webnlg/)
23. [**REFINER: Reasoning Feedback on Intermediate Representations**Debjit Paul, Mete Ismayilzada, Maxime Peyrard, et al.*2023 · 152 citations*](https://md.research.elamur.ai/free/en/papers/paul-2023-refiner-reasoning-feedback-intermediate-representations/)
24. [**SUD or Surface-Syntactic Universal Dependencies: An annotation scheme near-isomorphic to UD**Kim Gerdes, Bruno Guillaume, Sylvain Kahane, et al.*2018 · 144 citations*](https://md.research.elamur.ai/free/en/papers/gerdes-2018-sud-or-surface-syntactic-universal/)
25. [**How much progress have we made on RST discourse parsing? A replication study of recent results on the RST-DT**Mathieu Morey, Philippe Muller, Nicholas Asher*2017 · 124 citations*](https://md.research.elamur.ai/free/en/papers/morey-2017-how-much-progress-have-we/)
26. [**GlotLID: Language Identification for Low-Resource Languages**Amir Hossein Kargaran, Ayyoob Imani, François Yvon, et al.*2023 · 115 citations*](https://md.research.elamur.ai/free/en/papers/kargaran-2023-glotlid-language-identification-low-resource/)
27. [**MLSUM: The Multilingual Summarization Corpus**Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.*2020 · 114 citations*](https://md.research.elamur.ai/free/en/papers/scialom-2020-mlsum-multilingual-summarization-corpus/)
28. [**French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English**Aurélie Névéol, Yoann Dupont, Julien Bezançon, et al.*2022 · 107 citations*](https://md.research.elamur.ai/free/en/papers/neveol-2022-french-crows-pairs-extending-challenge/)
29. [**Constrained Decoding for Text-Level Discourse Parsing**Philippe Muller, Stergos Afantenos, Pascal Denis, et al.*2012 · 99 citations*](https://md.research.elamur.ai/free/en/papers/muller-2012-constrained-decoding-text-level-discourse/)
30. [**Discourse parsing for multi-party chat dialogues**Stergos Afantenos, Eric Kow, Nicholas Asher, et al.*2015 · 97 citations*](https://md.research.elamur.ai/free/en/papers/afantenos-2015-discourse-parsing-multi-party-chat/)
31. [**Get that into your head: Tigre vowel harmonies as templatic**Noam Faust*2017 · 89 citations*](https://md.research.elamur.ai/free/en/papers/faust-2017-get-that-into-your-head/)
32. [**Towards a Contextual Pragmatic Model to Detect Irony in Tweets**Jihen Karoui, Farah Benamara Zitoune, Véronique Moriceau, et al.*2015 · 81 citations*](https://md.research.elamur.ai/free/en/papers/karoui-2015-contextual-pragmatic-model-detect-irony/)
33. [**A Dependency Perspective on RST Discourse Parsing and Evaluation**Mathieu Morey, Philippe Muller, Nicholas Asher*2018 · 76 citations*](https://md.research.elamur.ai/free/en/papers/morey-2018-dependency-perspective-rst-discourse-parsing/)
34. [**Unsupervised Sentence Simplification Using Deep Semantics**Shashi Narayan, Claire Gardent*2016 · 76 citations*](https://md.research.elamur.ai/free/en/papers/narayan-2016-unsupervised-sentence-simplification-deep-semantics/)
35. [**Integer Linear Programming for Discourse Parsing**Jérémy Perret, Stergos Afantenos, Nicholas Asher, et al.*2016 · 71 citations*](https://md.research.elamur.ai/free/en/papers/perret-2016-integer-linear-programming-discourse-parsing/)
36. [**Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus Study**Jihen Karoui, Farah Benamara, Véronique Moriceau, et al.*2017 · 69 citations*](https://md.research.elamur.ai/free/en/papers/karoui-2017-exploring-impact-pragmatic-phenomena-irony/)
37. [**Findings of the WMT 2017 Biomedical Translation Shared Task**Antonio Jimeno Yepes, Aurélie Névéol, Mariana Neves, et al.*2017 · 69 citations*](https://md.research.elamur.ai/free/en/papers/yepes-2017-findings-wmt-2017-biomedical-translation/)
38. [**Developing a French FrameNet: Methodology and First results**Marie Candito, Pascal Amsili, Lucie Barque, et al.*2014 · 63 citations*](https://md.research.elamur.ai/free/en/papers/candito-2014-developing-french-framenet-methodology-first/)
39. [**Annotation Guidelines for Questions under Discussion and Information Structure**Arndt Riester, Lisa Brunetti, Kordula De Kuthy*2018 · 49 citations*](https://md.research.elamur.ai/free/en/papers/riester-2018-annotation-guidelines-questions-under/)
40. [**The DISRPT 2021 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification**Amir Zeldes, Yang Janet Liu, Mikel Iruskieta, et al.*2021 · 49 citations*](https://md.research.elamur.ai/free/en/papers/zeldes-2021-disrpt-2021-shared-task-elementary/)
41. [**The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification**Chloé Braud, Yang Janet Liu, Eleni Metheniti, et al.*2023 · 37 citations*](https://md.research.elamur.ai/free/en/papers/braud-2023-disrpt-2023-shared-task-elementary/)
42. [**Pattern-and-root inflectional morphology: the Arabic broken plural**Alexis Amid Neme, Eric Laporte*2013 · 36 citations*](https://md.research.elamur.ai/free/en/papers/neme-2026-pattern-root-inflectional-morphology-arabic/)
43. [**Improving Surface-syntactic Universal Dependencies (SUD): MWEs and deep syntactic features**Kim Gerdes, Bruno Guillaume, Sylvain Kahane, et al.*2019 · 30 citations*](https://md.research.elamur.ai/free/en/papers/gerdes-2019-improving-surface-syntactic-universal-dependencies/)
44. [**The ISO Standard for Dialogue Act Annotation, Second Edition**Harry Bunt, Volha Petukhova, Emer Gilmartin, et al.*2020 · 29 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2020-iso-standard-dialogue-act-annotation/)
45. [**Fixing Translation Divergences in Parallel Corpora for Neural MT**MinhQuang Pham, Josep Crego, Jean Senellart, et al.*2018 · 24 citations*](https://md.research.elamur.ai/free/en/papers/pham-2018-fixing-translation-divergences-parallel-corpora/)
46. [**Multilingual Irony Detection with Dependency Syntax and Neural Models**Alessandra Teresa Cignarella, Valerio Basile, Manuela Sanguinetti, et al.*2020 · 21 citations*](https://md.research.elamur.ai/free/en/papers/cignarella-2020-multilingual-irony-detection-dependency-syntax/)
47. [**Learning Scalar Adjective Intensity from Paraphrases**Anne Cocos, Skyler Wharton, Ellie Pavlick, et al.*2018 · 21 citations*](https://md.research.elamur.ai/free/en/papers/cocos-2018-learning-scalar-adjective-intensity-paraphrases/)
48. [**Syntactic annotation of spontaneous speech: application to call-center conversation data**Thierry Bazillon, Melanie Deplano, Frederic Bechet, et al.*2012 · 20 citations*](https://md.research.elamur.ai/free/en/papers/bazillon-2012-syntactic-annotation-spontaneous-speech-application/)
49. [**Annotation guidelines of UD and SUD treebanks for spoken corpora: A proposal**Sylvain Kahane, Bernard Caron, Emmett Strickland, et al.*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/kahane-2021-annotation-guidelines-ud-sud-treebanks/)
50. [**Restoring Arabic vowels through omission-tolerant dictionary lookup**Alexis Amid Neme, Sebastien Paumier*2019 · 12 citations*](https://md.research.elamur.ai/free/en/papers/neme-2019-restoring-arabic-vowels-through-omission/)
51. [**Discourse Relation Prediction and Discourse Parsing in Dialogues with Minimal Supervision**Chuyuan Li, Chloé Braud, Maxime Amblard, et al.*2024 · 12 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-discourse-relation-prediction-discourse-parsing/)
52. [**Errator: a Tool to Help Detect Annotation Errors in the Universal Dependencies Project**Guillaume Wisniewski*2018 · 12 citations*](https://md.research.elamur.ai/free/en/papers/wisniewski-2018-errator-tool-help-detect-annotation/)
53. [**Experimental detection of vowel pronunciation variants in Amharic**Thomas Pellegrini, Lori Lamel*2006 · 11 citations*](https://md.research.elamur.ai/free/en/papers/pellegrini-2006-experimental-detection-vowel-pronunciation-variants/)
54. [**LIMSI@CoNLL'17: UD Shared Task**Lauriane Aufrant, Guillaume Wisniewski, François Yvon*2017 · 10 citations*](https://md.research.elamur.ai/free/en/papers/aufrant-2017-limsi-conll-17-ud-shared/)
55. [**An Error Analysis Framework for Shallow Surface Realization**Anastasia Shimorina, Yannick Parmentier, Claire Gardent*2021 · 8 citations*](https://md.research.elamur.ai/free/en/papers/shimorina-2021-error-analysis-framework-shallow-surface/)
56. [**Exponence, allomorphy and haplology in the number and State morphology of Modern Hebrew**Noam Faust*2018 · 7 citations*](https://md.research.elamur.ai/free/en/papers/faust-2018-exponence-allomorphy-haplology-number-state/)
57. [**Gender exponence and apparent polarity in a class of Omani Mehri plurals**Radwa Fathi*2017 · 6 citations*](https://md.research.elamur.ai/free/en/papers/fathi-2017-gender-exponence-apparent-polarity-class/)
58. [**Graph Rewriting for Enhanced Universal Dependencies**Bruno Guillaume, Guy Perrier*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/guillaume-2021-graph-rewriting-enhanced-universal-dependencies/)
59. [**Cross-lingual and Supervised Models for Morphosyntactic Annotation: a Comparison on Romanian**Lauriane Aufrant, Guillaume Wisniewski, François Yvon*2016 · 5 citations*](https://md.research.elamur.ai/free/en/papers/aufrant-2016-cross-lingual-supervised-models-morphosyntactic/)
60. [**Exclaiming non-sententially: exclamative sluices and the (non-elliptical) nature of ellipsis constructions**Jonathan Ginzburg, Jong-Bok Kim*2023 · 5 citations*](https://md.research.elamur.ai/free/en/papers/ginzburg-2023-exclaiming-non-sententially-exclamative-sluices/)
61. [**The Syriac grammatical tradition as an «extension» of Greek grammar: the parts of speech and the participle (La tradition grammaticale syriaque comme « extension » de la grammaire grecque. Les parties du discours et le participe)**Margherita Farina*2021 · 4 citations*](https://md.research.elamur.ai/free/en/papers/farina-2021-la-tradition-grammaticale-syriaque-comme/)
62. [**In the LLM era, Word Sense Induction remains unsolved**Anna Mosolova, Marie Candito, Carlos Ramisch*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/mosolova-2025-wsi-unsolved/)
63. [**Neural Lemmatization of Multiword Expressions**Marine Schmitt, Mathieu Constant*2019 · 4 citations*](https://md.research.elamur.ai/free/en/papers/schmitt-2019-neural-lemmatization-multiword-expressions/)
64. [**A Falta de Pan, Buenas Son Tortas: The Efficacy of Predicted UPOS Tags for Low Resource UD Parsing**Mark Anderson, Mathieu Dehouck, Carlos Gómez-Rodríguez*2021 · 3 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2021-falta-de-pan-buenas-son/)
65. [**Automatically Selecting the Best Dependency Annotation Design with Dynamic Oracles**Guillaume Wisniewski, Ophélie Lacroix, François Yvon*2018 · 2 citations*](https://md.research.elamur.ai/free/en/papers/wisniewski-2018-automatically-selecting-best-dependency-annotation/)
66. [**Unravelling Indirect Answers to Wh-Questions: Corpus Construction, Analysis, and Generation**Zulipiye Yusupujiang, Jonathan Ginzburg*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/yusupujiang-2023-unravelling-indirect-answers-wh-questions/)
67. [**Bidirectionnal converter between syntactic annotations : from French Treebank Dependencies to PASSAGE annotations, and back**Munshi Asadullah, Patrick Paroubek, Anne Vilnat*2014 · 1 citation*](https://md.research.elamur.ai/free/en/papers/asadullah-2014-bidirectionnal-converter-between-syntactic-annotations/)
68. [**Potential of ASR for the study of L2 learner corpora**Sarra El Ayari, Zhongjie Li*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ayari-2024-potential-asr-study-l2-learner/)
69. [**A Classifier of Word-Level Variants in Witnesses of Biblical Hebrew Manuscripts**Iglika Nikolova-Stoupak, Maxime Amblard, Sophie Robert-Hayek, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/stoupak-2025-classifier-word-level-variants-witnesses/)
70. [**Parallel Corpora of Scholarly Documents for English-French Machine Translation**Ziqian Peng, Lichao Zhu, Rachel Bawden, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/peng-2026-parallel-corpora-scholarly-documents-english/)
71. [**THIVLVC: Retrieval Augmented Dependency Parsing for Latin**Luc Pommeret, Thibault Wagret, Jules Deret*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/pommeret-2026-thivlvc-retrieval-augmented-dependency-parsing/)
72. [**Sema System for the DMR 2026 Shared Task: Multistage UMR Parsing with Qwen3-4B**Rémi de Vergnette, Maxime Amblard*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/vergnette-2026-sema-system-dmr-2026-shared/)
73. [**BEReshiT: an Ancient Hebrew Model based on DictaBERT**Iglika Nikolova-Stoupak, Maxime Amblard, Frédérique Rey*2026*](https://md.research.elamur.ai/free/en/papers/stoupak-2026-bereshit-ancient-hebrew-model-based/)
74. [**Stem Configurations, Lexical Items, and Phonological Words in Maltese**Gilbert Puech*2023*](https://md.research.elamur.ai/free/en/papers/puech-2023-stem-configurations-lexical-items-phonological/)
75. [**Evaluating the Retrieval Component in a Retrieval-Augmented Summarization System for Patient Records in French**Marco Naguib, Christel Gérardin, Victor Beaucoté, et al.*2026*](https://md.research.elamur.ai/free/en/papers/naguib-2026-evaluating-retrieval-component-retrieval-augmented/)
76. [**EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressions**Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.*2026*](https://md.research.elamur.ai/free/en/papers/noel-2026-eiffel-novel-benchmark-measure-bias/)
77. [**Automatic Extraction of Textual and Phonemic Complexity for French Cued Speech**Magali Norré, Brigitte Bigi, Núria Gala, et al.*2026*](https://md.research.elamur.ai/free/en/papers/norre-2026-automatic-extraction-textual-phonemic-complexity/)
78. [**SagaQA: A Multi-hop Reasoning Benchmark for Long-form Narrative Understanding in TV Series**Galann Pennec, Zhengyuan Liu, Nicholas Asher, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pennec-2026-sagaqa-multi-hop-reasoning-benchmark/)
79. [**Detecting Experiential Intertextuality Across Migration Routes: Beyond Surface Similarity in French Narratives**Sakayo Toadoum Sari, Nelly Robin, Michelle Auzanneau, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sari-2026-detecting-experiential-intertextuality-across-migration/)
80. [**Translation from the Information Bottleneck Perspective: an Efficiency Analysis of Spatial Prepositions in Bitexts**Antoine Taroni, Ludovic Moncla, Frederique Laforest*2026*](https://md.research.elamur.ai/free/en/papers/taroni-2026-translation-information-bottleneck-perspective-efficiency/)
81. [**A Proposal for a More Universal Annotation of Relative Clauses in Universal Dependencies**Santiago Herrera, Sylvain Kahane*2026*](https://md.research.elamur.ai/free/en/papers/herrera-2026-proposal-more-universal-annotation-relative/)
82. [**Extracting First Order Logic formulas from graphical semantic representations**Rémi de Vergnette, Vincent Tourneur, Maxime Amblard*2026*](https://md.research.elamur.ai/free/en/papers/vergnette-2026-extracting-first-order-logic-formulas/)
83. [**From Latents to Labels: Zero-Shot Named Entity Recognition using Sparse Autoencoder Features**Nakanyseth Vuth, Gilles Sérasset, Didier Schwab*2026*](https://md.research.elamur.ai/free/en/papers/vuth-2026-latents-labels-zero-shot-named/)
- [← back to](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) — Centre National de la Recherche Scientifique
